Add KoalaFilter docs

mint.json

@@ -223,6 +223,7 @@
         {
           "group": "Audio",
           "pages": [
+            "server/utilities/audio/koala-filter",
             "server/utilities/audio/krisp-filter",
             "server/utilities/audio/noisereduce-filter",
             "server/utilities/audio/silero-vad-analyzer",

server/utilities/audio/koala-filter.mdx

@@ -0,0 +1,72 @@
+---
+title: "KoalaFilter"
+description: "Audio noise reduction filter using Koala AI technology from Picovoice"
+---
+
+## Overview
+
+`KoalaFilter` is an audio processor that reduces background noise in real-time audio streams using Koala Noise Suppression technology from Picovoice. It inherits from `BaseAudioFilter` and processes audio frames to improve audio quality by removing unwanted noise.
+
+To use Koala, you need a Picovoice access key. Get started at [Picovoice Console](https://console.picovoice.ai/signup).
+
+## Installation
+
+The Koala filter requires additional dependencies:
+
+```bash
+pip install pipecat-ai[koala]
+```
+
+You'll also need to set up your Koala access key as an environment variable: `KOALA_ACCESS_KEY`
+
+## Constructor Parameters
+
+<ParamField path="access_key" type="str" required>
+  Picovoice access key for using the Koala noise suppression service
+</ParamField>
+
+## Input Frames
+
+<ParamField path="FilterEnableFrame" type="Frame">
+
+Specific control frame to toggle filtering on/off
+
+</ParamField>
+
+## Usage Example
+
+```python
+from pipecat.audio.filters.koala_filter import KoalaFilter
+
+transport = DailyTransport(
+    room_url,
+    token,
+    "Respond bot",
+    DailyParams(
+        audio_in_filter=KoalaFilter(access_key=os.getenv("KOALA_ACCESS_KEY")), # Enable Koala noise reduction
+        audio_out_enabled=True,
+        vad_enabled=True,
+        vad_analyzer=SileroVADAnalyzer(),
+    ),
+)
+```
+
+## Audio Flow
+
+```mermaid
+graph TD
+    A[AudioRawFrame] --> B[KoalaFilter]
+    B[KoalaFilter] --> C[VAD]
+    C[VAD] --> D[STT]
+```
+
+## Notes
+
+- Requires Picovoice access key
+- Supports real-time audio processing
+- Handles 16-bit PCM audio format
+- Can be dynamically enabled/disabled
+- Maintains audio quality while reducing noise
+- Efficient processing for low latency
+- Automatically handles audio frame buffering
+- Sample rate must match Koala's required sample rate

server/utilities/audio/krisp-filter.mdx

@@ -43,6 +43,21 @@ You can set the `model_path` directly. Alternatively, you can set the `KRISP_MOD
 
 </ParamField>
 
+## Input Frames
+
+<ParamField path="FilterEnableFrame" type="Frame">
+  Specific control frame to toggle filtering on/off
+
+```python
+# Disable noise reduction
+await task.queue_frame(FilterEnableFrame(False))
+
+# Re-enable noise reduction
+await task.queue_frame(FilterEnableFrame(True))
+```
+
+</ParamField>
+
 ## Usage Example
 
 ```python
@@ -60,7 +75,7 @@ transport = DailyTransport(
 )
 ```
 
-## Frame Flow
+## Audio Flow
 
 ```mermaid
 graph TD

server/utilities/audio/noisereduce-filter.mdx

@@ -19,6 +19,14 @@ pip install pipecat-ai[noisereduce]
 
 This filter has no configurable parameters in its constructor.
 
+## Input Frames
+
+<ParamField path="FilterEnableFrame" type="Frame">
+
+Specific control frame to toggle filtering on/off
+
+</ParamField>
+
 ## Usage Example
 
 ```python
@@ -36,7 +44,7 @@ transport = DailyTransport(
 )
 ```
 
-## Frame Flow
+## Audio Flow
 
 ```mermaid
 graph TD